Quantized ResNeXt

.. currentmodule:: torchvision.models.quantization

The quantized ResNext model is based on the Aggregated Residual Transformations for Deep Neural Networks <https://arxiv.org/abs/1611.05431v2>__ paper.

Model builders

The following model builders can be used to instantiate a quantized ResNeXt model, with or without pre-trained weights. All the model builders internally rely on the torchvision.models.quantization.resnet.QuantizableResNet base class. Please refer to the source code <https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/resnet.py>_ for more details about this class.

.. autosummary:: :toctree: generated/ :template: function.rst

resnext101_32x8d
resnext101_64x4d